Uno.ipynb

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  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zdXPYYLRGq68"
      },
      "outputs": [],
      "source": [
        "#!unzip /content/drive/MyDrive/Uno_Cards.v2-raw.voc.zip -d /content/drive/MyDrive/Uno"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "import cv2\n",
        "import numpy as np\n",
        "import os\n",
        "import matplotlib.pyplot as plt\n",
        "import glob as glob\n",
        "from xml.etree import ElementTree as et\n",
        "from torch.utils.data import Dataset, DataLoader\n",
        "from tqdm.auto import tqdm\n",
        "from torchsummary import summary\n",
        "import torchvision\n",
        "import albumentations as A\n",
        "from albumentations.pytorch import ToTensorV2\n"
      ],
      "metadata": {
        "id": "U40VW4pvj6Sg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "BATCH_SIZE = 8 \n",
        "RESIZE_TO = 416 \n",
        "NUM_EPOCHS = 10 \n",
        "NUM_WORKERS = 2\n",
        "DEVICE = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
        "print(f'DEVICE: {DEVICE}')\n",
        "TRAIN_DIR = '/content/drive/MyDrive/Uno/train'\n",
        "VALID_DIR = '/content/drive/MyDrive/Uno/valid'\n",
        "TEST_DIR = '/content/drive/MyDrive/Uno/test'\n",
        "CLASSES = [\n",
        "    '__background__', '11', '9', '13', '10', '6', '7', '0', '5', '4', '2', '14', \n",
        "    '8', '12', '1', '3'\n",
        "]\n",
        "NUM_CLASSES = len(CLASSES)\n",
        "VISUALIZE_TRANSFORMED_IMAGES = True"
      ],
      "metadata": {
        "id": "UVhUXX11G-I-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d666fd37-f61d-4152-f955-3c57551e881a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "DEVICE: cuda\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def collate(batch):\n",
        "    return tuple(zip(*batch))"
      ],
      "metadata": {
        "id": "8LC3j92MxDj6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class CustomDataset(Dataset):\n",
        "    def __init__(self, dir_path, width, height, classes, transforms=None):\n",
        "        self.transforms = transforms\n",
        "        self.dir_path = dir_path\n",
        "        self.height = height\n",
        "        self.width = width\n",
        "        self.classes = classes\n",
        "        \n",
        "        # get all the image paths in sorted order\n",
        "        self.image_paths = glob.glob(f\"{self.dir_path}/*.jpg\")\n",
        "        self.all_images = [image_path.split(os.path.sep)[-1] for image_path in self.image_paths]\n",
        "        self.all_images = sorted(self.all_images)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        image_name = self.all_images[idx]\n",
        "        image_path = os.path.join(self.dir_path, image_name)\n",
        "\n",
        "        image = cv2.imread(image_path)\n",
        "        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB).astype(np.float32)\n",
        "        image_resized = cv2.resize(image, (self.width, self.height))\n",
        "        image_resized /= 255.0\n",
        "        \n",
        "        annot_filename = image_name[:-4] + '.xml'\n",
        "        annot_file_path = os.path.join(self.dir_path, annot_filename)\n",
        "        \n",
        "        boxes = []\n",
        "        labels = []\n",
        "        tree = et.parse(annot_file_path)\n",
        "        root = tree.getroot()\n",
        "        \n",
        "        image_width = image.shape[1]\n",
        "        image_height = image.shape[0]\n",
        "        \n",
        "        for member in root.findall('object'):\n",
        "            labels.append(self.classes.index(member.find('name').text))\n",
        "            \n",
        "            xmin = int(member.find('bndbox').find('xmin').text)\n",
        "            xmax = int(member.find('bndbox').find('xmax').text)\n",
        "            ymin = int(member.find('bndbox').find('ymin').text)\n",
        "            ymax = int(member.find('bndbox').find('ymax').text)\n",
        "            \n",
        "            xmin_final = (xmin/image_width)*self.width\n",
        "            xmax_final = (xmax/image_width)*self.width\n",
        "            ymin_final = (ymin/image_height)*self.height\n",
        "            yamx_final = (ymax/image_height)*self.height\n",
        "            \n",
        "            boxes.append([xmin_final, ymin_final, xmax_final, yamx_final])\n",
        "        \n",
        "        boxes = torch.as_tensor(boxes, dtype=torch.float32)\n",
        "        area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])\n",
        "        iscrowd = torch.zeros((boxes.shape[0],), dtype=torch.int64)\n",
        "        labels = torch.as_tensor(labels, dtype=torch.int64)\n",
        "        target = {}\n",
        "        target[\"boxes\"] = boxes\n",
        "        target[\"labels\"] = labels\n",
        "        target[\"area\"] = area\n",
        "        target[\"iscrowd\"] = iscrowd\n",
        "        image_id = torch.tensor([idx])\n",
        "        target[\"image_id\"] = image_id\n",
        "        if self.transforms:\n",
        "            sample = self.transforms(image = image_resized,\n",
        "                                     bboxes = target['boxes'],\n",
        "                                     labels = labels)\n",
        "            image_resized = sample['image']\n",
        "            target['boxes'] = torch.Tensor(sample['bboxes'])\n",
        "            \n",
        "        return image_resized, target\n",
        "        \n",
        "    def __len__(self):\n",
        "        return len(self.all_images)"
      ],
      "metadata": {
        "id": "wc8ad7gDj4_X"
      },
      "execution_count": null,
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    },
    {
      "cell_type": "code",
      "source": [
        "transform_train = A.Compose([\n",
        "        A.Flip(0.5),\n",
        "        A.RandomRotate90(0.5),\n",
        "        A.Blur(blur_limit=3, p=0.1),\n",
        "        ToTensorV2(p=1.0),\n",
        "    ], bbox_params={\n",
        "        'format': 'pascal_voc',\n",
        "        'label_fields': ['labels']\n",
        "    })\n",
        "transform_val = A.Compose([\n",
        "        ToTensorV2(p=1.0)\n",
        "    ], bbox_params={\n",
        "        'format': 'pascal_voc',\n",
        "        'label_fields': ['labels']\n",
        "    })"
      ],
      "metadata": {
        "id": "uiGIpCrcxfgB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset_train = CustomDataset(TRAIN_DIR, RESIZE_TO, RESIZE_TO, CLASSES, transforms=transform_train)\n",
        "dataset_val = CustomDataset(VALID_DIR, RESIZE_TO, RESIZE_TO, CLASSES, transforms=transform_val)\n",
        "datset_test = CustomDataset(TEST_DIR, RESIZE_TO, RESIZE_TO, CLASSES, transforms=transform_val)"
      ],
      "metadata": {
        "id": "e6n9qiL_kt4Z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataloader_train = DataLoader(dataset_train, batch_size=BATCH_SIZE, shuffle=True, num_workers=NUM_WORKERS, collate_fn=collate)\n",
        "dataloader_val = DataLoader(dataset_val, batch_size=BATCH_SIZE, shuffle=False, num_workers=NUM_WORKERS, collate_fn=collate)\n",
        "dataloader_test = DataLoader(datset_test, batch_size=BATCH_SIZE, shuffle=False, num_workers=NUM_WORKERS, collate_fn=collate)"
      ],
      "metadata": {
        "id": "YDV3WFY6qW0p"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import torchvision\n",
        "from torchvision.models.detection.faster_rcnn import FastRCNNPredictor\n",
        "def create_model(num_classes):\n",
        "    \n",
        "    # load Faster RCNN pre-trained model\n",
        "    model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)\n",
        "    # get the number of input features \n",
        "    in_features = model.roi_heads.box_predictor.cls_score.in_features\n",
        "    # define a new head for the detector with required number of classes\n",
        "    model.roi_heads.box_predictor = FastRCNNPredictor(in_features, num_classes) \n",
        "    return model"
      ],
      "metadata": {
        "id": "N1yWfuFPVrwF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = create_model(NUM_CLASSES).to(DEVICE)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 160,
          "referenced_widgets": [
            "a39f112d59b949ef84d6f27d9de04aed",
            "ed540ceb260e4038b2b4db58eb1e794f",
            "44146ec426124e6ab393f8db2837e1d4",
            "a045f71ed7a04f6b961aeda553771ec3",
            "8a682912fff04e7486874639ab0ec1b3",
            "db69ba28fb2f41be8a419ba229418860",
            "a0dbd4c718114fedaa9e2052b9172d70",
            "76ecd066f23d4b1fa930c6c0a63f6571",
            "a1ae47e19d5342fd8dbd3417b34c9d87",
            "6bb63ba85c36456d8e30c4a902b157c7",
            "6d672b6290d04373ab6a4ad628e4eee5"
          ]
        },
        "id": "_Qg2AOMEWmL7",
        "outputId": "2f684292-ae4b-4afb-bc16-89235341fde1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
            "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
            "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=FasterRCNN_ResNet50_FPN_Weights.COCO_V1`. You can also use `weights=FasterRCNN_ResNet50_FPN_Weights.DEFAULT` to get the most up-to-date weights.\n",
            "  warnings.warn(msg)\n",
            "Downloading: \"https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\" to /root/.cache/torch/hub/checkpoints/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0.00/160M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a39f112d59b949ef84d6f27d9de04aed"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "optimizer = torch.optim.Adam(model.parameters(), lr=1e-3)"
      ],
      "metadata": {
        "id": "Z0WymkoXrjHn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def train(train_data_loader, model):\n",
        "    print('Training')\n",
        "    train_loss_list = []\n",
        "    # initialize tqdm progress bar\n",
        "    prog_bar = tqdm(train_data_loader, total=len(train_data_loader))\n",
        "    \n",
        "    for i, data in enumerate(prog_bar):\n",
        "        optimizer.zero_grad()\n",
        "        images, targets = data\n",
        "        \n",
        "        images = list(image.to(DEVICE) for image in images)\n",
        "        targets = [{k: v.to(DEVICE) for k, v in t.items()} for t in targets]\n",
        "        loss_dict = model(images, targets)\n",
        "        losses = sum(loss for loss in loss_dict.values())\n",
        "        loss_value = losses.item()\n",
        "        train_loss_list.append(loss_value)\n",
        "        losses.backward()\n",
        "        optimizer.step()\n",
        "    \n",
        "        # update the loss value beside the progress bar for each iteration\n",
        "        prog_bar.set_description(desc=f\"Loss: {loss_value:.4f}\")\n",
        "    return train_loss_list"
      ],
      "metadata": {
        "id": "ZqDwlPLdWtVk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def validate(valid_data_loader, model):\n",
        "    print('Validating')\n",
        "    val_loss_list = []\n",
        "    # initialize tqdm progress bar\n",
        "    prog_bar = tqdm(valid_data_loader, total=len(valid_data_loader))\n",
        "    \n",
        "    for i, data in enumerate(prog_bar):\n",
        "        images, targets = data\n",
        "        \n",
        "        images = list(image.to(DEVICE) for image in images)\n",
        "        targets = [{k: v.to(DEVICE) for k, v in t.items()} for t in targets]\n",
        "        \n",
        "        with torch.no_grad():\n",
        "            loss_dict = model(images, targets)\n",
        "        losses = sum(loss for loss in loss_dict.values())\n",
        "        loss_value = losses.item()\n",
        "        val_loss_list.append(loss_value)\n",
        "        # update the loss value beside the progress bar for each iteration\n",
        "        prog_bar.set_description(desc=f\"Loss: {loss_value:.4f}\")\n",
        "    return val_loss_list"
      ],
      "metadata": {
        "id": "aYyQOQOFNsaS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def WriteTxt(path: str, content: str):\n",
        "    with open(path, 'a+') as f:\n",
        "        f.write(f'{content}\\n')"
      ],
      "metadata": {
        "id": "Phm3ycBhOTtt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "log_path = '/content/drive/MyDrive/Uno/Logs'\n",
        "\n",
        "os.mkdir(log_path)\n",
        "os.mkdir(os.path.join(log_path,'Val_loss'))\n",
        "os.mkdir(os.path.join(log_path,'Train_loss'))\n",
        "os.mkdir(os.path.join(log_path,'models'))"
      ],
      "metadata": {
        "id": "Okgw5lFbQIFU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_LOSSES, val_LOSSES = [], []\n",
        "for epoch in range(NUM_EPOCHS):\n",
        "    tr_loss = train(dataloader_train, model)\n",
        "    vl_loss = validate(dataloader_val, model)\n",
        "\n",
        "    WriteTxt(os.path.join(os.path.join(log_path,'Train_loss'), f'{epoch}.txt'), str(tr_loss))\n",
        "    WriteTxt(os.path.join(os.path.join(log_path,'Val_loss'), f'{epoch}.txt'), str(vl_loss))\n",
        "    torch.save(model.state_dict(), os.path.join(os.path.join(log_path, 'models'), f'_epoch_{epoch}' + '.pt'))\n",
        "\n",
        "    train_LOSSES.append(tr_loss)\n",
        "    val_LOSSES.append(val_LOSSES)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
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            "332d5a0a815942f9a6a3c030d8fc70c5",
            "792b58a4d0c64c34b24c33381cecee09",
            "0b15eb1f32ee4697b32ff97e818cf2b6",
            "499f83b4da7d478d978db51e92acc09e",
            "53da4656cb84447890c95f07bfd93c63",
            "53764f1b39664c698ab0ae9d79542e38",
            "2d65f5daa1474f51b70964c728371bc7",
            "ea11a8a6fa2947cd8e7afc0edc686294",
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            "9eef970853194a2994a7afdd85e3e2a9",
            "2749edb194dc463c854da09ae7282bba",
            "2c7cd38fa0f0414ab868f305916e97c7",
            "7b430a116ae74491ae00fe17bbe66134",
            "560aa6e36cac4d9d8ce7e3e2a0e997ae",
            "1e3464d04cf04053bffbcef739e4d0b7",
            "aca109652bad4109ae3aea3ac7798ef7",
            "0d2be8b64c6d4494a8fd5802e527d414",
            "c79a8e79b0bf478d8835c30a566f00e9",
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            "d61c9b12fe3848f19ba11e28d3c1c40f",
            "828ca5673d2e4662a28b771ba9c02de4",
            "f443d6ce43c245dca201adb33b992f7a",
            "fb0df91d4c924aa095c3defbe6ef0075",
            "22d808f52dcc4769bc0dae8517d264e0",
            "fad6c5b341e546c9a504669cebd96c6e",
            "63ecb01b02ff4505bf57c36a5ba015aa",
            "09819d6f55f0472daeb50315cded4a5a",
            "e6e19ef9c4014fd3aff168ec1bfbce59",
            "974c900b1369488c9838379bec668432"
          ]
        },
        "id": "EiuawG44W6fr",
        "outputId": "25872f06-a13d-4fc0-f103-25edc292407a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "7e90ed0874244ebebabacf1de1c6e4db"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "023947cd3bd546078a158f5d0857cb4f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "e7de367e5a5c455e8ae03c8429cbabac"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "3db62be47fb445ce8ce90e4119bd7bc2"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "580a0ab79bda47009b1c47a0c05c071e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "42863462a6b74ec496384427b3177cda"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "686cd39d4a1c4ae59173fbe7cd8d58aa"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "Exception ignored in: Traceback (most recent call last):\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "self._shutdown_workers()<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>    \n",
            "\n",
            "self._shutdown_workers()Traceback (most recent call last):\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "            if w.is_alive():if w.is_alive():self._shutdown_workers()\n",
            "\n",
            "\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "            assert self._parent_pid == os.getpid(), 'can only test a child process'assert self._parent_pid == os.getpid(), 'can only test a child process'if w.is_alive():\n",
            "\n",
            "\n",
            "AssertionErrorAssertionError  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            ": :     can only test a child processcan only test a child processException ignored in: assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "\n",
            "AssertionErrorTraceback (most recent call last):\n",
            ":   File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "Exception ignored in: can only test a child processException ignored in:     <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "\n",
            "Traceback (most recent call last):\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "self._shutdown_workers()Exception ignored in:       File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>    self._shutdown_workers()  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "self._shutdown_workers()\n",
            "    Traceback (most recent call last):\n",
            "\n",
            "if w.is_alive():  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "            if w.is_alive():  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "self._shutdown_workers()    \n",
            "\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "    if w.is_alive():\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'    AssertionError  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "if w.is_alive():: \n",
            "AssertionError\n",
            "    can only test a child process  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            ": assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "can only test a child process    \n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionErrorException ignored in: \n",
            ": AssertionError<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>Exception ignored in: : \n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>can only test a child processTraceback (most recent call last):\n",
            "can only test a child process\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "\n",
            "Traceback (most recent call last):\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "self._shutdown_workers()    Exception ignored in: \n",
            "self._shutdown_workers()<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "Exception ignored in: \n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "Traceback (most recent call last):\n",
            "if w.is_alive():<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "\n",
            "if w.is_alive():  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    Traceback (most recent call last):\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "self._shutdown_workers()      File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    \n",
            "self._shutdown_workers()assert self._parent_pid == os.getpid(), 'can only test a child process'  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "    \n",
            "    if w.is_alive():  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "AssertionErrorassert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "    : \n",
            "can only test a child processif w.is_alive():AssertionError  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            ": \n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'can only test a child process  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "\n",
            "Exception ignored in: AssertionError:     <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>assert self._parent_pid == os.getpid(), 'can only test a child process'can only test a child process\n",
            "\n",
            "Exception ignored in: \n",
            "Traceback (most recent call last):\n",
            "AssertionError<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            ": \n",
            "    can only test a child processException ignored in: Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "self._shutdown_workers()<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    Traceback (most recent call last):\n",
            "self._shutdown_workers()      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "Exception ignored in: if w.is_alive():    \n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>self._shutdown_workers()\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    \n",
            "    if w.is_alive():AssertionErrorif w.is_alive():self._shutdown_workers()\n",
            ": \n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "can only test a child process  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "      File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'    \n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'AssertionError\n",
            "if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            ": AssertionError    assert self._parent_pid == os.getpid(), 'can only test a child process'Exception ignored in: : <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>can only test a child process\n",
            "AssertionErrorcan only test a child process: \n",
            "\n",
            "\n",
            "Traceback (most recent call last):\n",
            "can only test a child process  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    \n",
            "self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
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            "application/vnd.jupyter.widget-view+json": {
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              "model_id": "27c5c3f49da3435788d49cfcd36532c5"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
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              "model_id": "9e0d18f82392475eae59947138eb0588"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "1d82e11ea4bb417da39e52a9ccd18554"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    Exception ignored in: assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>Exception ignored in: AssertionError\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>: Traceback (most recent call last):\n",
            "can only test a child process\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "Traceback (most recent call last):\n",
            "    Exception ignored in: self._shutdown_workers()\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "    Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "if w.is_alive():  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "      File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    self._shutdown_workers()\n",
            "self._shutdown_workers()  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "            if w.is_alive():assert self._parent_pid == os.getpid(), 'can only test a child process'if w.is_alive():\n",
            "\n",
            "\n",
            "AssertionError  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            ":         can only test a child processassert self._parent_pid == os.getpid(), 'can only test a child process'assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "\n",
            "\n",
            "Exception ignored in: AssertionErrorAssertionError: : Exception ignored in: can only test a child processcan only test a child process<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "\n",
            "\n",
            "Traceback (most recent call last):\n",
            "Traceback (most recent call last):\n",
            "Exception ignored in:   File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "    self._shutdown_workers()\n",
            "Traceback (most recent call last):\n",
            "self._shutdown_workers()Traceback (most recent call last):\n",
            "\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "        if w.is_alive():    self._shutdown_workers()\n",
            "self._shutdown_workers()if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'    \n",
            "\n",
            "if w.is_alive():assert self._parent_pid == os.getpid(), 'can only test a child process'AssertionError\n",
            "\n",
            ": can only test a child process  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "AssertionError  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    : \n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'can only test a child process\n",
            "\n",
            "Exception ignored in: AssertionError<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>: if w.is_alive():Exception ignored in: \n",
            "can only test a child process\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>Traceback (most recent call last):\n",
            "\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "Traceback (most recent call last):\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "Exception ignored in: \n",
            "    self._shutdown_workers()AssertionError    <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>: \n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "can only test a child processself._shutdown_workers()Traceback (most recent call last):\n",
            "    \n",
            "\n",
            "if w.is_alive():  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    \n",
            "    self._shutdown_workers()if w.is_alive():  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "          File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "    AssertionError:     assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'can only test a child processAssertionError\n",
            ": \n",
            "can only test a child processException ignored in: AssertionError<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>: \n",
            "\n",
            "can only test a child processTraceback (most recent call last):\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "2c9958cc6aa343c681cc74bb0dfed6b3"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/787 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f2ba850afc0b43fb93326d03eacdd005"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/225 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c4f431d3193e4bebac24a379b85e3d2b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/787 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "7da943ef2a264f969bb668eb1a170048"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/225 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8d1fb0306dd94a93930d14d6c0637ba6"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Exception ignored in: Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440><function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "\n",
            "Exception ignored in: Traceback (most recent call last):\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "Traceback (most recent call last):\n",
            "\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "Traceback (most recent call last):\n",
            "self._shutdown_workers()\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "self._shutdown_workers()self._shutdown_workers()Exception ignored in: \n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "    if w.is_alive():Traceback (most recent call last):\n",
            "    if w.is_alive():  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "\n",
            "if w.is_alive():  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "      File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "self._shutdown_workers()        \n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'assert self._parent_pid == os.getpid(), 'can only test a child process'  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "    AssertionError\n",
            "AssertionError: : if w.is_alive():AssertionErrorcan only test a child processcan only test a child process\n",
            ": \n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    \n",
            "can only test a child processassert self._parent_pid == os.getpid(), 'can only test a child process'Exception ignored in: Exception ignored in: \n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Exception ignored in: AssertionError\n",
            "Traceback (most recent call last):\n",
            ": <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "can only test a child process    \n",
            "    \n",
            "self._shutdown_workers()\n",
            "self._shutdown_workers()  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "Traceback (most recent call last):\n",
            "Exception ignored in:   File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "    <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "if w.is_alive():\n",
            "self._shutdown_workers()    \n",
            "Traceback (most recent call last):\n",
            "\n",
            "if w.is_alive():  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "              File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'self._shutdown_workers()if w.is_alive():    \n",
            "\n",
            "\n",
            "AssertionErrorassert self._parent_pid == os.getpid(), 'can only test a child process'  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            ": \n",
            "        can only test a child processassert self._parent_pid == os.getpid(), 'can only test a child process'if w.is_alive():AssertionError\n",
            "\n",
            ": \n",
            "can only test a child process  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "AssertionErrorException ignored in: \n",
            "    : <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>can only test a child processassert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "\n",
            "Traceback (most recent call last):\n",
            "Exception ignored in:   File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>AssertionError\n",
            "    : Exception ignored in: Traceback (most recent call last):\n",
            "self._shutdown_workers()can only test a child process<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    self._shutdown_workers()\n",
            "\n",
            "\n",
            "    Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "if w.is_alive():      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "Exception ignored in: \n",
            "    if w.is_alive():<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "self._shutdown_workers()  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "    \n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'AssertionError\n",
            "    self._shutdown_workers(): \n",
            "can only test a child processif w.is_alive():\n",
            "AssertionError  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    : \n",
            "if w.is_alive():  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "Exception ignored in:     \n",
            "can only test a child process  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'    <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "\n",
            "\n",
            "Exception ignored in: AssertionErrorTraceback (most recent call last):\n",
            "AssertionError: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "can only test a child process    \n",
            ": Traceback (most recent call last):\n",
            "self._shutdown_workers()\n",
            "can only test a child process  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    Exception ignored in:     self._shutdown_workers()Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "if w.is_alive():  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>    Traceback (most recent call last):\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    \n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "if w.is_alive():assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    Traceback (most recent call last):\n",
            "AssertionError    : self._shutdown_workers()  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "can only test a child process\n",
            "\n",
            "    AssertionErrorself._shutdown_workers()  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    : \n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "can only test a child processif w.is_alive():\n",
            "\n",
            "      File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "if w.is_alive():\n",
            "      File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "20a84fe51146463cb04040e9c23771bc"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/225 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c0d160ed1e9b489cbd1c41054f482b42"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/787 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ea11a8a6fa2947cd8e7afc0edc686294"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n",
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    if w.is_alive():\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validating\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "25b109adc5db49c688ea5905bbd4e8fb"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    self._shutdown_workers()Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    if w.is_alive():self._shutdown_workers()\n",
            "\n",
            "Exception ignored in:   File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "        \n",
            "Traceback (most recent call last):\n",
            "if w.is_alive():  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "self._shutdown_workers()\n",
            "Exception ignored in:     \n",
            "AssertionError<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>assert self._parent_pid == os.getpid(), 'can only test a child process':   File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    \n",
            "can only test a child process\n",
            "AssertionErrorif w.is_alive():Traceback (most recent call last):\n",
            "\n",
            ": \n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "can only test a child process  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "    \n",
            "Exception ignored in: assert self._parent_pid == os.getpid(), 'can only test a child process'    <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "self._shutdown_workers()\n",
            "Exception ignored in: AssertionError\n",
            "Traceback (most recent call last):\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    : can only test a child process\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "if w.is_alive():Traceback (most recent call last):\n",
            "    \n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "self._shutdown_workers()      File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "Exception ignored in: self._shutdown_workers()      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'    \n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "if w.is_alive():Traceback (most recent call last):\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "AssertionError\n",
            "    if w.is_alive():  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            ": self._shutdown_workers()\n",
            "    can only test a child process\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "    AssertionErrorassert self._parent_pid == os.getpid(), 'can only test a child process'    : \n",
            "can only test a child processif w.is_alive():AssertionError\n",
            "\n",
            "Exception ignored in: Exception ignored in: :   File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440><function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>can only test a child process    \n",
            "\n",
            "\n",
            "assert self._parent_pid == os.getpid(), 'can only test a child process'Traceback (most recent call last):\n",
            "Traceback (most recent call last):\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "AssertionErrorException ignored in:         <function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>self._shutdown_workers()self._shutdown_workers()\n",
            "\n",
            ": \n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "can only test a child process  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "            if w.is_alive():if w.is_alive():\n",
            "self._shutdown_workers()\n",
            "\n",
            "\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "        Exception ignored in:     assert self._parent_pid == os.getpid(), 'can only test a child process'assert self._parent_pid == os.getpid(), 'can only test a child process'<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>if w.is_alive():\n",
            "\n",
            "\n",
            "\n",
            "AssertionErrorAssertionErrorTraceback (most recent call last):\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            ": :     can only test a child processcan only test a child processassert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "AssertionError    Exception ignored in: : self._shutdown_workers()<function _MultiProcessingDataLoaderIter.__del__ at 0x7f37f2c83440>can only test a child process\n",
            "\n",
            "\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "Traceback (most recent call last):\n",
            "      File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1510, in __del__\n",
            "if w.is_alive():    \n",
            "self._shutdown_workers()  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 1493, in _shutdown_workers\n",
            "\n",
            "    AssertionErrorif w.is_alive():: \n",
            "can only test a child process  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 151, in is_alive\n",
            "\n",
            "    assert self._parent_pid == os.getpid(), 'can only test a child process'\n",
            "AssertionError: can only test a child process\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "val_loss_path = '/content/drive/MyDrive/Uno/Logs/Val_loss'\n",
        "vals_txt = os.listdir(val_loss_path)"
      ],
      "metadata": {
        "id": "NFK9mZcUsmq4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def readTxt(val_txt):\n",
        "    new = []\n",
        "    with open(os.path.join(val_loss_path, val_txt), 'r') as f:\n",
        "        a = f.read().split(', ')\n",
        "        for item in a:\n",
        "            item = item.replace('[','')\n",
        "            item = item.replace(']\\n','')\n",
        "            \n",
        "            new.append(float(item))\n",
        "    return new "
      ],
      "metadata": {
        "id": "uMFTA1htgFk3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "d = {}\n",
        "for val_txt in vals_txt:\n",
        "    tmp = readTxt(val_txt)\n",
        "    d[val_txt] = sum(tmp)/len(tmp)"
      ],
      "metadata": {
        "id": "AtI9VtW0gixW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "list(d.keys())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H4VK6f8WjA62",
        "outputId": "d09695cf-3308-40db-e66b-2936bbe29993"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['0.txt',\n",
              " '1.txt',\n",
              " '2.txt',\n",
              " '3.txt',\n",
              " '4.txt',\n",
              " '5.txt',\n",
              " '6.txt',\n",
              " '7.txt',\n",
              " '8.txt',\n",
              " '9.txt']"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12,8)) \n",
        "plt.plot([int(x[0]) for x in list(d.keys())], [d[key] for key in list(d.keys())], '-o')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Val loss')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 515
        },
        "id": "2i0uTAD2kwAN",
        "outputId": "4227634e-da53-4c92-b182-5c25a58b90f5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Val loss')"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "d"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hlobi_Sllqu-",
        "outputId": "56b8ab7d-4924-40fb-b985-e3729d1383fd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'0.txt': 0.4272189297940996,\n",
              " '1.txt': 0.2241264781686995,\n",
              " '2.txt': 0.11959580441315969,\n",
              " '3.txt': 0.16353144251637988,\n",
              " '4.txt': 0.12663153108623293,\n",
              " '5.txt': 0.13141178876161574,\n",
              " '6.txt': 0.1265607448418935,\n",
              " '7.txt': 2.6353615220387776,\n",
              " '8.txt': 0.8748479239145914,\n",
              " '9.txt': 0.5145493189493815}"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.load_state_dict(torch.load('/content/drive/MyDrive/Uno/Logs/models/_epoch_2.pt'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dyCTjATLl29E",
        "outputId": "1f5e17cb-6e4f-48e8-88dd-8111bf10aa32"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<All keys matched successfully>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Перевод модели в .onnx формат"
      ],
      "metadata": {
        "id": "YWCEBpT7gEnm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model.eval()\n",
        "x = datset_test[0][0].unsqueeze(0).to(DEVICE)#torch.randn(1, 3, 416, 416, requires_grad=True)\n",
        "print(x.shape)\n",
        "torch_out = model(x)\n",
        "\n",
        "input_names = [ \"actual_input\" ]\n",
        "output_names = [ \"output\" ]\n",
        "\n",
        "torch.onnx.export(model, \n",
        "                  x,\n",
        "                  \"Uno_detector.onnx\",\n",
        "                  verbose=False,\n",
        "                  input_names=input_names,\n",
        "                  output_names=output_names,\n",
        "                  export_params=True,\n",
        "                  )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2AIUYYe5MFv3",
        "outputId": "7c8c5fb6-aa23-45a9-fc0d-ba5221877385"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([1, 3, 416, 416])\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:3897: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  for i in range(dim)\n",
            "/usr/local/lib/python3.7/dist-packages/torchvision/models/detection/anchor_utils.py:124: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
            "  for g in grid_sizes\n",
            "/usr/local/lib/python3.7/dist-packages/torchvision/models/detection/rpn.py:99: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
            "  A = Ax4 // 4\n",
            "/usr/local/lib/python3.7/dist-packages/torchvision/models/detection/rpn.py:100: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
            "  C = AxC // A\n",
            "/usr/local/lib/python3.7/dist-packages/torchvision/ops/boxes.py:157: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))\n",
            "/usr/local/lib/python3.7/dist-packages/torchvision/ops/boxes.py:159: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))\n",
            "/usr/local/lib/python3.7/dist-packages/torch/__init__.py:833: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!\n",
            "  assert condition, message\n",
            "/usr/local/lib/python3.7/dist-packages/torchvision/models/detection/transform.py:300: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
            "  for s, s_orig in zip(new_size, original_size)\n",
            "/usr/local/lib/python3.7/dist-packages/torch/onnx/symbolic_opset9.py:4194: UserWarning: Exporting aten::index operator of advanced indexing in opset 13 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.\n",
            "  + \"If indices include negative values, the exported graph will produce incorrect results.\"\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Inference модели в формате .onnx"
      ],
      "metadata": {
        "id": "KV8SPzBRgh5h"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install onnxruntime"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ABccBXa9MyNK",
        "outputId": "583ac4f1-17f5-4233-e53e-c4188ce71c0b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting onnxruntime\n",
            "  Downloading onnxruntime-1.13.1-cp37-cp37m-manylinux_2_27_x86_64.whl (4.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.5 MB 20.3 MB/s \n",
            "\u001b[?25hCollecting coloredlogs\n",
            "  Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n",
            "\u001b[K     |████████████████████████████████| 46 kB 4.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: flatbuffers in /usr/local/lib/python3.7/dist-packages (from onnxruntime) (1.12)\n",
            "Requirement already satisfied: protobuf in /usr/local/lib/python3.7/dist-packages (from onnxruntime) (3.17.3)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.7/dist-packages (from onnxruntime) (1.7.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from onnxruntime) (21.3)\n",
            "Requirement already satisfied: numpy>=1.21.6 in /usr/local/lib/python3.7/dist-packages (from onnxruntime) (1.21.6)\n",
            "Collecting humanfriendly>=9.1\n",
            "  Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n",
            "\u001b[K     |████████████████████████████████| 86 kB 6.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->onnxruntime) (3.0.9)\n",
            "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.7/dist-packages (from protobuf->onnxruntime) (1.15.0)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.7/dist-packages (from sympy->onnxruntime) (1.2.1)\n",
            "Installing collected packages: humanfriendly, coloredlogs, onnxruntime\n",
            "Successfully installed coloredlogs-15.0.1 humanfriendly-10.0 onnxruntime-1.13.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import onnxruntime as onnxrt\n",
        "onnx_session= onnxrt.InferenceSession(\"Uno_detector.onnx\")\n",
        "onnx_inputs= {onnx_session.get_inputs()[0].name: x.cpu().numpy()}\n",
        "onnx_output = onnx_session.run(None, input_feed=onnx_inputs)\n",
        "res = {}\n",
        "keys = ['boxes', 'labels', 'scores']\n",
        "for idx, key in enumerate(keys):\n",
        "    res[key] = onnx_output[idx]\n",
        "res"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-E4DtI84McTE",
        "outputId": "5531442a-18f2-4f85-f63e-91e71b382d3f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'boxes': array([[173.98074 , 115.024506, 194.70105 , 140.55203 ],\n",
              "        [155.3942  , 115.68475 , 171.69478 , 140.19357 ],\n",
              "        [209.15672 , 123.227806, 229.86842 , 147.82742 ],\n",
              "        [209.21527 , 123.42164 , 229.73625 , 147.33487 ],\n",
              "        [176.43083 , 119.98251 , 191.33093 , 136.99669 ],\n",
              "        [153.1439  , 114.058014, 180.34468 , 140.23132 ],\n",
              "        [154.6258  , 116.25042 , 172.93037 , 138.98349 ],\n",
              "        [208.27202 , 121.86298 , 231.43494 , 147.85269 ],\n",
              "        [154.5557  , 114.748245, 176.39034 , 141.34093 ],\n",
              "        [153.80666 , 114.118416, 180.18011 , 139.4222  ]], dtype=float32),\n",
              " 'labels': array([ 7, 14,  5,  2,  3,  6, 13,  9,  1, 11], dtype=int64),\n",
              " 'scores': array([0.9861605 , 0.9229883 , 0.7265607 , 0.6990055 , 0.21026383,\n",
              "        0.1940458 , 0.14337242, 0.10490771, 0.06246325, 0.05821065],\n",
              "       dtype=float32)}"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Получаем придикты используя .onnx модель"
      ],
      "metadata": {
        "id": "XbOpeWa8gK8r"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def GetPreds(image):\n",
        "    onnx_session= onnxrt.InferenceSession(\"Uno_detector.onnx\")\n",
        "    onnx_inputs= {onnx_session.get_inputs()[0].name: image}\n",
        "    onnx_output = onnx_session.run(None, input_feed=onnx_inputs)\n",
        "    res = {}\n",
        "    keys = ['boxes', 'labels', 'scores']\n",
        "    for idx, key in enumerate(keys):\n",
        "        res[key] = onnx_output[idx]\n",
        "    return res"
      ],
      "metadata": {
        "id": "exzSKxmbUfwt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Отрисовываем результат"
      ],
      "metadata": {
        "id": "4x--N5IUgUEQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "COLORS = np.random.uniform(0, 255, size=(len(CLASSES), 3))\n",
        "\n",
        "image = cv2.imread('/content/uno_1.jpg')\n",
        "orig_image = image.copy()\n",
        "image = cv2.cvtColor(orig_image, cv2.COLOR_BGR2RGB).astype(np.float32)\n",
        "image /= 255.0\n",
        "image = np.transpose(image, (2, 0, 1)).astype(np.float32)\n",
        "image = np.expand_dims(image, 0)\n",
        "print(image.shape)\n",
        "\n",
        "res = GetPreds(image)\n",
        "\n",
        "if len(res['boxes']) != 0:\n",
        "    boxes = res['boxes']\n",
        "    scores = res['scores']\n",
        "    boxes = boxes[scores >= 0.7].astype(np.int32)\n",
        "    draw_boxes = boxes.copy()\n",
        "    pred_classes = [CLASSES[i] for i in res['labels']]\n",
        "    \n",
        "    for j, box in enumerate(draw_boxes):\n",
        "        class_name = pred_classes[j]\n",
        "        color = COLORS[CLASSES.index(class_name)]\n",
        "        cv2.rectangle(orig_image,\n",
        "                    (int(box[0]), int(box[1])),\n",
        "                    (int(box[2]), int(box[3])),\n",
        "                    color, 2)\n",
        "        cv2.putText(orig_image, class_name, \n",
        "                    (int(box[0]), int(box[1]-5)),\n",
        "                    cv2.FONT_HERSHEY_SIMPLEX, 0.7, color, \n",
        "                    2, lineType=cv2.LINE_AA)\n",
        "    cv2.imwrite(f\"/content/uno_1_pred.jpg\", orig_image)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4apK9zEuOOIO",
        "outputId": "9e56e923-c791-48fa-e08e-e9202b669a30"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(3, 416, 416)\n",
            "(1, 3, 416, 416)\n",
            "{'boxes': array([[173.98074 , 115.024506, 194.70105 , 140.55203 ],\n",
            "       [155.3942  , 115.68475 , 171.69478 , 140.19357 ],\n",
            "       [209.15672 , 123.227806, 229.86842 , 147.82742 ],\n",
            "       [209.21527 , 123.42164 , 229.73625 , 147.33487 ],\n",
            "       [176.43083 , 119.98251 , 191.33093 , 136.99669 ],\n",
            "       [153.1439  , 114.058014, 180.34468 , 140.23132 ],\n",
            "       [154.6258  , 116.25042 , 172.93037 , 138.98349 ],\n",
            "       [208.27202 , 121.86298 , 231.43494 , 147.85269 ],\n",
            "       [154.5557  , 114.748245, 176.39034 , 141.34093 ],\n",
            "       [153.80666 , 114.118416, 180.18011 , 139.4222  ]], dtype=float32), 'labels': array([ 7, 14,  5,  2,  3,  6, 13,  9,  1, 11], dtype=int64), 'scores': array([0.9861605 , 0.9229883 , 0.7265607 , 0.6990055 , 0.21026383,\n",
            "       0.1940458 , 0.14337242, 0.10490771, 0.06246325, 0.05821065],\n",
            "      dtype=float32)}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "SxxXozD7DCYl"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}